homelab
https://github.com/theepicsaxguy/homelab
After rebuilding my homelab one too many times, I committed to managing it entirely with GitOps. This repository is the result: a blueprint for a resilient, production-inspired Kubernetes cluster.
https://github.com/theepicsaxguy/homelab
mcp-server-kubernetes
https://github.com/Flux159/mcp-server-kubernetes
MCP Server that can connect to a Kubernetes cluster and manage it. Supports loading kubeconfig from multiple sources in priority order.
https://github.com/Flux159/mcp-server-kubernetes
mysql-operator
https://github.com/mysql/mysql-operator
The MySQL Operator for Kubernetes is an operator for managing MySQL InnoDB Cluster setups inside a Kubernetes Cluster. It manages the full lifecycle with set up and maintenance that includes automating upgrades and backup.
https://github.com/mysql/mysql-operator
YamlQL
https://github.com/AKSarav/YamlQL
Query YAML files with SQL. Transform any YAML structure into a queryable database instantly.
https://github.com/AKSarav/YamlQL
kube-composer
https://github.com/same7ammar/kube-composer
A modern, intuitive Kubernetes YAML generator that simplifies deployment configuration for developers and DevOps teams.
https://github.com/same7ammar/kube-composer
What Is OTLP and Why It's the Future of Observability
https://www.dash0.com/knowledge/opentelemetry-protocol-otlp
You're probably reading this because you don't want to sink time or money into proprietary protocols and agents anymore. Why would you? They tie you to a single vendor, force you to adapt to their quirks, and make it painful to change direction later.
What you really need is an open, consistent way to instrument, collect, and move your telemetry without worrying about compatibility or lock-in. That's exactly what OpenTelemetry (OTel) gives you. And at the center of it all is the OpenTelemetry Protocol (OTLP), the common language that makes your services, collectors, and backends speak fluently with each other.
This guide will walk you through OTLP in detail: what it is, why it matters, and how to use it in real pipelines. By the end, you'll see how embracing OTLP and pairing it with an OTel-native backend helps you solve the challenges of modern observability while keeping your stack open, reliable, and free of lock-in.
https://www.dash0.com/knowledge/opentelemetry-protocol-otlp
What are metrics in OpenTelemetry: A Complete Guide
https://oneuptime.com/blog/post/2025-08-26-what-are-metrics-in-opentelemetry/view
A comprehensive guide to understanding metrics in OpenTelemetry. What they are, how they work, and how to implement them effectively with practical code examples.
https://oneuptime.com/blog/post/2025-08-26-what-are-metrics-in-opentelemetry/view
Cloudreve
https://github.com/cloudreve/Cloudreve
Self-hosted file management system with multi-cloud support.
https://github.com/cloudreve/Cloudreve
Building a Unified OpenTelemetry Pipeline in Kubernetes
https://fatihkoc.net/posts/opentelemetry-kubernetes-pipeline
https://fatihkoc.net/posts/opentelemetry-kubernetes-pipeline
velld
https://github.com/dendianugerah/velld
A self-hosted database backup management tool. Schedule automated backups, monitor status, and manage multiple databases from one place.
https://github.com/dendianugerah/velld
3
PrivateCaptcha
https://github.com/PrivateCaptcha/PrivateCaptcha
Private Captcha is an independent, privacy-first, self-hostable Proof-of-Work CAPTCHA service made in EU.
https://github.com/PrivateCaptcha/PrivateCaptcha
flint
https://github.com/volantvm/flint
A single <11MB binary with a modern Web UI, CLI, and API for KVM.
No XML. No bloat. Just VMs.
https://github.com/volantvm/flint
Optimising Kubernetes deployment with local continuous development tooling
https://gawbul.medium.com/optimising-kubernetes-deployment-with-local-continuous-development-tooling-15b1fbf7a722
https://gawbul.medium.com/optimising-kubernetes-deployment-with-local-continuous-development-tooling-15b1fbf7a722
cluster-bare-autoscaler
https://github.com/docent-net/cluster-bare-autoscaler
Cluster Bare Autoscaler (CBA) automatically adjusts the size of a bare-metal Kubernetes cluster by powering nodes off or on based on real-time resource usage, while safely cordoning and draining nodes before shutdown.
https://github.com/docent-net/cluster-bare-autoscaler
volcano-vgpu-device-plugin
https://github.com/Project-HAMi/volcano-vgpu-device-plugin
Volcano vgpu device-plugin can provide device-sharing mechanism for NVIDIA devices managed by volcano.
https://github.com/Project-HAMi/volcano-vgpu-device-plugin
KAI-Scheduler
https://github.com/NVIDIA/KAI-Scheduler
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
https://github.com/NVIDIA/KAI-Scheduler
kubezonnet
https://github.com/polarsignals/kubezonnet
Monitor cross-zone network traffic in Kubernetes.
https://github.com/polarsignals/kubezonnet
k3k
https://github.com/rancher/k3k
K3k, Kubernetes in Kubernetes, is a tool that empowers you to create and manage isolated K3s clusters within your existing Kubernetes environment.
https://github.com/rancher/k3k
ramalama
https://github.com/containers/ramalama
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
https://github.com/containers/ramalama
hwameistor
https://github.com/hwameistor/hwameistor
HwameiStor is an HA local storage system for cloud-native stateful workloads. It creates a local storage resource pool for centrally managing all disks such as HDD, SSD, and NVMe. It uses the CSI architecture to provide distributed services with local volumes and provides data persistence capabilities for stateful cloud-native workloads or components.
https://github.com/hwameistor/hwameistor